Research Projects Directory

Research Projects Directory

At this time, all listed projects are using data in the registered tier. The registered tier contains individual-level data from electronic health records, survey answers, and physical measurements. These data have been altered to protect participant privacy.

Note: Researcher Workbench users provide information about their research projects independently. Any views expressed in the Research Projects Directory belong to the relevant users and do not necessarily represent those of the All of Us Research Program.

Information in the Research Projects Directory is also cross-posted on AllofUs.nih.gov in compliance with the 21st Century Cures Act.

There are currently 73 active workspaces. This information was updated on 7/2/2020.

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Prehypertension Epidemiology

Project Purpose(s)

  • Other Purpose (This work is a result of an All of Us Research Program Demonstration Project. The projects are efforts by the Program designed to meet the program's goal of ensuring the quality and utility of the Research Hub as a resource for accelerating discovery in science and medicine. This work was reviewed and overseen by the All of Us Research Program Science Committee and the Data and Research Center to ensure compliance with program policy, including policies for acceptable data access and use) ...

Scientific Questions Being Studied

In this demonstration project, we propose to replicate the association between race, prehypertension, and associated risk factors, using the All of Us (AoU) participant provided information as well as clinical data. Specific questions of interest include:
1. What is the prevalence of prehypertension in the AoU data?
2. How to define prehypertensive, normotensive, and hypertensive cohorts in the AoU data?
3. What is the association between race and prehypertension?

Scientific Approaches

We will use internationally-defined blood pressure ranges to characterize prehypertensive, normotensive, and hypertensive groups. We will generate summary statistics for various hypertension groupsRace will be categorized according to the definitions of the US Census Bureau. We will stratify results by race to assess the interaction between race and prehypertension. Jupyter Notebook and R will be used used to perform the analyses.

Anticipated Findings

We anticipate the prevalence of prehypertension to be associated with age, race and ethnicity, heart disease, and diabetes as reported in previous literature.

Demographic Categories of Interest

  • Race / Ethnicity

Research Team

Owner:

  • Vignesh Subbian - Early Career Tenure-track Researcher, University of Arizona

Collaborators:

  • John Ehiri
  • Baran Balkan - Project Personnel, University of Arizona

qqq

Project Purpose(s)

  • Disease Focused Research (qqq) ...

Scientific Questions Being Studied

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Scientific Approaches

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Anticipated Findings

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Demographic Categories of Interest

  • Race / Ethnicity

Research Team

Owner:

  • Aaron Abend - Senior Researcher, Autoimmune Registry, Inc.

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Project Purpose(s)

  • Disease Focused Research (qqq) ...

Scientific Questions Being Studied

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Scientific Approaches

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Anticipated Findings

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Demographic Categories of Interest

  • Race / Ethnicity

Research Team

Owner:

  • Aaron Abend - Senior Researcher, Autoimmune Registry, Inc.

qqq

Project Purpose(s)

  • Disease Focused Research (qqq) ...

Scientific Questions Being Studied

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Scientific Approaches

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Anticipated Findings

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Demographic Categories of Interest

  • Race / Ethnicity

Research Team

Owner:

  • Aaron Abend - Senior Researcher, Autoimmune Registry, Inc.

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Project Purpose(s)

  • Disease Focused Research (qqq) ...

Scientific Questions Being Studied

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Scientific Approaches

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Anticipated Findings

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Demographic Categories of Interest

  • Race / Ethnicity

Research Team

Owner:

  • Aaron Abend - Senior Researcher, Autoimmune Registry, Inc.

RacialEthnicDifferences_AnthropoLipidALT

Project Purpose(s)

  • Disease Focused Research (Obesity)
  • Other Purpose (This work is the result of an All of Us Research Program Demonstration Project. Demonstration Projects are efforts by the All of Us Research Program designed to meet the goal of ensuring the quality and utility of the Research Hub as a resource for accelerating precision medicine. This work has been approved, reviewed, and overseen by the All of Us Research Program Science Committee and Data and Research Center to ensure compliance with program policy.) ...

Scientific Questions Being Studied

Obesity is one of the most important risks for many diseases in the United States and across the world. Differences in body weight and shape across gender and race/ethnicity have been extensively described. We sought to replicate these differences and evaluate newly emerging data from the All of Us Research Program (AoU). In this project, we ask the scientific question: How do individuals from different genders and different racial/ethnic groups in the All Of Us dataset differ with respect to weight, waist and hip circumferences, cholesterol levels and levels of alanine aminotransferase?

Scientific Approaches

Within each ethnic/racial group and each gender group, we first visually examine histograms of each outcome variable to determine the presence of any major outliers that may represent measurement errors. Then we tabulated the mean values and other descriptive statistics for continuous variables such as waist and hip circumferences. We also determined the proportion of individuals with abdominal obesity. To formally test for differences among groups and to adjust for age and other covariates, we will use linear regression, transforming variables to conform to assumptions of linear regression. Data for race and ethnicity was obtained from participants in participant-provided information (PPI). Biological sex at birth, height, weight, waist circumference (WC), and hip circumference measurements were obtained according to AoU baseline visit protocols. Levels of alanine aminotransferase (ALT) were obtained from the EHR records of participants.

Anticipated Findings

For this study, we anticipate that we will be able to replicate known differences in body weight and shape across gender and race/ethnicity. We anticipate that we will find racial/ethnic and gender disparities related to ALT, a surrogate marker of hepatic steatosis. We anticipate the ability to evaluate the consistency of the All of Us cohort with national averages related to obesity and indicate that this resource is likely to be a major source of scientific inquiry and discovery. This project will serve to demonstrate the quality, utility, and diversity of the All of Us data and tools and the power of gathering multiple data sources for a single set of phenotypes, providing researchers options for study design and validation.

Demographic Categories of Interest

  • Race / Ethnicity
  • Sex at Birth

Research Team

Owner:

  • Yann Klimentidis - Mid-career Tenured Researcher, University of Arizona

Collaborators:

  • Roxana Loperena Cortes - Other, All of Us Program Operational Use
  • Jason Karnes - Other, University of Arizona
  • Andrea Ramirez - Other, All of Us Program Operational Use
  • Amit Arora - Graduate Trainee, University of Arizona
  • Lina Sulieman - Other, All of Us Program Operational Use